Applied Mathematics and Computation, Volume 428 , 01/09/2022

Closed-form formula for conditional moments of generalized nonlinear drift CEV process

Phiraphat Sutthimat, Khamron Mekchay, Sanae Rujivan

Abstract

This paper studied a generalized case of the constant elasticity of variance diffusion (CEV) process whereas the drift term is substantially nonlinear in the short rate. Well-known instances deduced by this process are the extended Cox–Ingersoll–Ross (ECIR) process and the extended inverse Feller (EIF) process or 3/2-stochastic volatility model (SVM). We found particular sufficient conditions of existence and uniqueness of a positive pathwise strong solution for time-dependent parameter functions, and obtained closed-form formulas for conditional moments based on Feynman–Kac theorem. The accuracy and validity of the formulas were further investigated based on Monte Carlo simulations.

Document Type

Article

Source Type

Journal

Keywords

3/2-SVMClosed-form formulaConditional momentECIR ProcessNonlinear drift CEV process

ASJC Subject Area

Mathematics : Applied MathematicsMathematics : Computational MathematicsComputer Science : Computer Science (all)


Bibliography


Sutthimat, P., Mekchay, K., & Rujivan, S. (2022). Closed-form formula for conditional moments of generalized nonlinear drift CEV process. Applied Mathematics and Computation, 428doi:10.1016/j.amc.2022.127213

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